Machine learning in medicine: Addressing ethical challenges

Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.

Detalles Bibliográficos
Autores principales: Vayena, Effy, Blasimme, Alessandro, Cohen, I. Glenn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219763/
https://www.ncbi.nlm.nih.gov/pubmed/30399149
http://dx.doi.org/10.1371/journal.pmed.1002689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219763/
https://www.ncbi.nlm.nih.gov/pubmed/30399149
http://dx.doi.org/10.1371/journal.pmed.1002689

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